Daniel Griffin

5.8k total citations · 2 hit papers
65 papers, 4.3k citations indexed

About

Daniel Griffin is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Daniel Griffin has authored 65 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 44 papers in Atmospheric Science and 9 papers in Nature and Landscape Conservation. Recurrent topics in Daniel Griffin's work include Tree-ring climate responses (39 papers), Plant Water Relations and Carbon Dynamics (37 papers) and Climate variability and models (20 papers). Daniel Griffin is often cited by papers focused on Tree-ring climate responses (39 papers), Plant Water Relations and Carbon Dynamics (37 papers) and Climate variability and models (20 papers). Daniel Griffin collaborates with scholars based in United States, Mexico and Australia. Daniel Griffin's co-authors include Kevin J. Anchukaitis, David M. Meko, Edward R. Cook, Connie A. Woodhouse, David W. Stahle, Henri D. Grissino‐Mayer, Richard Seager, Park Williams, Craig D. Allen and Chandana Gangodagamage and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Daniel Griffin

63 papers receiving 4.1k citations

Hit Papers

Temperature as a potent driver of regional forest drought... 2012 2026 2016 2021 2012 2014 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Griffin United States 28 3.2k 2.4k 1.1k 816 322 65 4.3k
Sara A. Rauscher United States 30 4.4k 1.4× 3.3k 1.4× 885 0.8× 577 0.7× 342 1.1× 43 5.1k
Cuihua Li China 22 2.8k 0.9× 2.1k 0.9× 510 0.5× 658 0.8× 176 0.5× 56 4.0k
Naomi Naik United States 30 4.5k 1.4× 3.6k 1.5× 521 0.5× 786 1.0× 172 0.5× 41 5.8k
Nili Harnik Israel 24 3.0k 0.9× 2.5k 1.0× 423 0.4× 542 0.7× 133 0.4× 58 3.9k
Ngar-Cheung Lau United States 11 2.9k 0.9× 2.0k 0.8× 411 0.4× 553 0.7× 136 0.4× 11 3.7k
Maurizio Maugeri Italy 38 4.2k 1.3× 3.7k 1.6× 662 0.6× 469 0.6× 297 0.9× 135 5.7k
Marc Macias‐Fauria United Kingdom 30 2.3k 0.7× 2.6k 1.1× 1.0k 0.9× 1.4k 1.7× 301 0.9× 65 4.7k
Andrew G. Bunn United States 29 4.2k 1.3× 3.9k 1.6× 2.3k 2.0× 1.5k 1.8× 345 1.1× 46 5.7k
Henri D. Grissino‐Mayer United States 34 4.6k 1.4× 3.6k 1.5× 1.7k 1.5× 1.3k 1.6× 560 1.7× 118 5.7k
Patrick J. Baker Australia 37 2.8k 0.9× 1.4k 0.6× 2.2k 2.0× 1.2k 1.4× 525 1.6× 138 4.7k

Countries citing papers authored by Daniel Griffin

Since Specialization
Citations

This map shows the geographic impact of Daniel Griffin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Griffin more than expected).

Fields of papers citing papers by Daniel Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Griffin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Griffin. The network helps show where Daniel Griffin may publish in the future.

Co-authorship network of co-authors of Daniel Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Griffin. A scholar is included among the top collaborators of Daniel Griffin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Griffin. Daniel Griffin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Griffin, Daniel, et al.. (2022). Pinus resinosa Tree-Ring Latewood Response to Daily-Scale Precipitation Variability at Lake Itasca, Minnesota. Frontiers in Water. 3. 3 indexed citations
3.
Reynolds, David J., et al.. (2021). A Multicentennial Proxy Record of Northeast Pacific Sea Surface Temperatures From the Annual Growth Increments of Panopea generosa. Paleoceanography and Paleoclimatology. 36(9). 8 indexed citations
4.
Griffin, Daniel, Sarah E. Hobbie, Ian M. Howard, et al.. (2020). Century-scale wood nitrogen isotope trajectories from an oak savanna with variable fire frequencies. Biogeosciences. 17(18). 4509–4522. 4 indexed citations
5.
Black, Bryan A., Peter van der Sleen, Emanuele Di Lorenzo, et al.. (2018). Rising synchrony controls western North American ecosystems. Global Change Biology. 24(6). 2305–2314. 49 indexed citations
6.
Griffin, Daniel, et al.. (2017). Arctic shrub growth trajectories differ across soil moisture levels. Global Change Biology. 23(10). 4294–4302. 90 indexed citations
7.
Stahle, David W., Edward R. Cook, Dorian J. Burnette, et al.. (2016). The Mexican Drought Atlas: Tree-ring reconstructions of the soil moisture balance during the late pre-Hispanic, colonial, and modern eras. Quaternary Science Reviews. 149. 34–60. 171 indexed citations
8.
Black, Bryan A., William J. Sydeman, David Frank, et al.. (2014). Six centuries of variability and extremes in a coupled marine-terrestrial ecosystem. Science. 345(6203). 1498–1502. 65 indexed citations
9.
Griffin, Daniel, Alison K. Macalady, Christopher H. Guiterman, et al.. (2013). Signal Strength In Sub-Annual Tree-Ring Chronologies fromPinus ponderosaIn Northern New Mexico. Tree-Ring Research. 69(2). 81–86. 8 indexed citations
10.
Woodhouse, Connie A., David M. Meko, Daniel Griffin, & Christopher L. Castro. (2013). Tree rings and multiseason drought variability in the lower Rio Grande Basin, USA. Water Resources Research. 49(2). 844–850. 33 indexed citations
11.
Stahle, David W., Daniel Griffin, Malcolm K. Cleaveland, et al.. (2011). A Tree-Ring Reconstruction of the Salinity Gradient in the Northern Estuary of San Francisco Bay. San Francisco Estuary and Watershed Science. 9(1). 11 indexed citations
12.
Engeman, Richard M., et al.. (2007). An extraordinary patch of feral hog damage in Florida before and after initiating hog removal. Human-wildlife interactions. 9 indexed citations
13.
Cleaveland, Malcolm K., et al.. (2007). A 2100-Year Reconstruction of July Rainfall Over Westcentral New Mexico. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
14.
Engeman, Richard M., et al.. (2007). From the Field An Extraordinary Patch of Feral Hog Damage in Florida Before and After Initiating Hog Removal. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Griffin, Daniel, David W. Stahle, & Matthew D. Therrell. (2005). Repeat photography in the ancient Cross Timbers of Oklahoma, USA. Natural Areas Journal. 25(2). 176–182. 5 indexed citations
16.
Acuña-Soto, Rodolfo, David W. Stahle, Matthew D. Therrell, Daniel Griffin, & Malcolm K. Cleaveland. (2004). When half of the population died: the epidemic of hemorrhagic fevers of 1576 in Mexico. FEMS Microbiology Letters. 240(1). 1–5. 34 indexed citations
17.
Giles, C. Lee, Daniel Griffin, & Thomas Maxwell. (1988). Computational advantages of higher order neural networks. Neural Networks. 1. 95–95. 2 indexed citations
18.
Giles, C. Lee, Daniel Griffin, & Tom Maxwell. (1987). Encoding Geometric Invariances in Higher-Order Neural Networks. Neural Information Processing Systems. 301–309. 50 indexed citations
19.
Griffin, Daniel, et al.. (1987). Optical higher-order neural networks for invariant pattern recognition. Annual Meeting Optical Society of America. FB4–FB4. 2 indexed citations
20.
Griffin, Daniel & Samuel M. Harris. (1982). Two-atom resonance fluorescence including the dipole-dipole interaction. Physical review. A, General physics. 25(3). 1528–1534. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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